@article{ac102b51117948698571e9b7b09d9fab,
title = "Healthcare personnel interactive pathogen exposure response system",
abstract = "Exposure investigations are labor intensive and vulnerable to recall bias. We developed an algorithm to identify healthcare personnel (HCP) interactions from the electronic health record (EHR), and we evaluated its accuracy against conventional exposure investigations. The EHR algorithm identified every known transmission and used ranking to produce a manageable contact list.",
author = "Smith, {Leigh L.} and Fallon, {Susan A.} and Virk, {Zunaira Q.} and Salinas, {Alejandra B.} and Curless, {Melanie S.} and Cosgrove, {Sara E.} and Maragakis, {Lisa L.} and Clare Rock and Klein, {Eili Y.}",
note = "Funding Information: This work was funded by the Centers for Disease Control and Prevention{\textquoteright}s Prevention Epicenters Program (grant no. 1 U54CK000617-01-00). Publisher Copyright: {\textcopyright} The Author(s), 2023. Published by Cambridge University Press on behalf of The Society for Healthcare Epidemiology of America.",
year = "2023",
month = aug,
day = "28",
doi = "10.1017/ice.2022.261",
language = "English (US)",
volume = "44",
pages = "1358--1360",
journal = "Infection control and hospital epidemiology",
issn = "0899-823X",
publisher = "Cambridge University Press",
number = "8",
}